Journal
TRIALS
Volume 16, Issue -, Pages -Publisher
BMC
DOI: 10.1186/s13063-015-0838-3
Keywords
stepped wedge trials; analysis; methodology; public health
Categories
Funding
- MRC Network of Hubs for Trials Methodology Research [MR/L004933/1-P27]
- MRC
- DFID [MR/K012126/1]
- African Health Initiative of the Doris Duke Charitable Foundation for the Better Health Outcomes through Mentoring and Assessment stepped wedge trial [2009060]
- Terre des Hommes for the Integrated e-Diagnosis Assessment stepped wedge trial
- National Institute for Health Research (NIHR)'s School for Public Health Research (SPHR)
- Medical Research Council [MR/K007467/1, MR/L004933/1, MC_UU_12023/21, MR/K012126/1, MC_UU_12023/29] Funding Source: researchfish
- MRC [MR/K007467/1, MC_UU_12023/29, MR/L004933/1, MC_UU_12023/21] Funding Source: UKRI
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Background: Stepped wedge cluster randomised trials introduce interventions to groups of clusters in a random order and have been used to evaluate interventions for health and wellbeing. Standardised guidance for reporting stepped wedge trials is currently absent, and a range of potential analytic approaches have been described. Methods: We systematically identified and reviewed recently published (2010 to 2014) analyses of stepped wedge trials. We extracted data and described the range of reporting and analysis approaches taken across all studies. We critically appraised the strategy described by three trials chosen to reflect a range of design characteristics. Results: Ten reports of completed analyses were identified. Reporting varied: seven of the studies included a CONSORT diagram, arid only five also included a diagram of the intervention rollout. Seven assessed the balance achieved by randomisation, and there was considerable heterogeneity among the approaches used. Only six reported the trend in the outcome over time. All used both 'horizontal and 'vertical' information to estimate the intervention effect: eight adjusted for time with a fixed effect, one used time as a condition using a Cox proportional hazards model, and one did not account for time trends. The majority used simple random effects to account for clustering and repeat measures, assuming a common intervention effect across clusters. Outcome data from before and after the rollout period were often included in the primary analysis. Potential lags in the outcome response to the intervention were rarely investigated. We use three case studies to illustrate different approaches to analysis and reporting. Conclusions: There is considerable heterogeneity in the reporting of stepped wedge cluster randomised trials. Correct specification of the time trend underlies the validity of the analytical approaches. The possibility that intervention effects vary by cluster or over time should be considered. Further work should be done to standardise the reporting of the design, attrition, balance, and time trends in stepped wedge trials.
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